Predictive modeling in event processing systems for big data processing in cloud

A non-transitory computer-readable storage medium coupled to one or more processors and having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations for predicting a type of an event in a computer-implemented system, the operations comprising:

• receiving event data comprising a set of features representative of an event;
• determining a probability for at least one feature in the set of features from a data structure that stores a plurality of feature-probability pairs, the data structure representative of a type of event;
• providing a joint probability based on the probability of the at least one feature, the joint probability indicating a likelihood that the event is of the type of event;
• comparing the joint probability to a threshold to provide a comparison;
• and
• selectively executing one or more actions based on the comparison.

A system, comprising:

• a computing device;
• and
• a computer-readable storage device coupled to the computing device and having instructions stored thereon which, when executed by the computing device, cause the computing device to perform operations for predicting a type of an event in a computer-implemented system, the operations comprising:
• receiving event data comprising a set of features representative of an event;
• determining a probability for at least one feature in the set of features from a data structure that stores a plurality of feature-probability pairs, the data structure representative of a type of event;
• providing a joint probability based on the probability of the at least one feature, the joint probability indicating a likelihood that the event is of the type of event;
• comparing the joint probability to a threshold to provide a comparison;
• and
• selectively executing one or more actions based on the comparison.